Computers, like humans, can learn. But when Google tries to fill in your search box based only on a few keystrokes, or your iPhone predicts words as you type a text message, it’s only a narrow mimicry of what the human brain is capable. The challenge in training a computer to behave like a human brain is technological and physiological, testing the limits of computer and brain science. But researchers from IBM Corp. say they’ve made a key step toward combining the two worlds.
The company announced Thursday that it has built two prototype chips that it says process data more like how humans digest information than the chips that now power PCs and supercomputers. The chips represent a significant milestone in a six-year-long project that has involved 100 researchers and some $41 million in funding from the government’s Defense Advanced Research Projects Agency, or DARPA. IBM has also committed an undisclosed amount of money.
The prototypes offer further evidence of the growing importance of “parallel processing,” or computers doing multiple tasks simultaneously. That is important for rendering graphics and crunching large amounts of data. The uses of the IBM chips so far are prosaic, such as steering a simulated car through a maze, or playing Pong. It may be a decade or longer before the chips make their way out of the lab and into actual products.